Data Analytics & AI Platforms for Business and Engineering

Turn operational, financial and industrial data into decisions using RapidMiner, Panopticon, Monarch and Knowledge Studio.

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Data Analytics & Predictive Modeling

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What is Data Analytics and Predictive Modeling?

Data analytics is the process of collecting, preparing and analyzing data to understand patterns and support decisions. Predictive modeling uses machine learning algorithms to forecast outcomes such as demand, risk, maintenance events or operational performance before they occur.

Data Analytics Workflow: From Raw Data to Predictive Decisions

Prepare, visualize and predict outcomes using an end-to-end analytics and machine learning platform.

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Monarch

Extracts and cleans data from reports, PDFs, spreadsheets and operational systems without coding. Converts unstructured information into structured datasets ready for analysis.

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Panopticon

Creates live dashboards and monitoring environments to track operational performance, KPIs and system behavior in real time.

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RapidMiner

Builds and deploys machine learning models to classify, forecast and automate decisions without requiring deep programming knowledge.

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Knowledge Studio

Allows analysts and domain experts to create predictive models, scoring systems and decision strategies for risk, fraud detection and operational optimization.

Not Sure How to Turn Your Data Into Decisions?

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Data Strategy & AI Implementation

Whether you are working with spreadsheets, operational systems or large enterprise databases, our specialists help you identify opportunities for data preparation, real-time dashboards and predictive modeling using RapidMiner, Panopticon, Monarch and Knowledge Studio.

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Data Analytics & Machine Learning Questions

Data analytics focuses on understanding what happened and why using historical data. Machine learning uses algorithms to predict future outcomes and automate decisions based on patterns.

No. Tools like Monarch and RapidMiner allow analysts and engineers to prepare and model data using visual workflows and no-code interfaces.

Financial reports, operational logs, sensor data, spreadsheets, ERP exports and databases can all be analyzed once prepared and structured.

Yes. Companies use analytics to monitor equipment performance, predict maintenance needs and optimize operations.

Real-time visualization displays live data as it is generated, allowing teams to detect anomalies, track KPIs and react immediately to operational changes.

Forecast demand, detect fraud, predict failures, classify customers, estimate risk and automate operational decisions.

Not Sure How to Use Your Data?

We review your data sources, reporting processes and business goals to identify opportunities for dashboards, automation and predictive analytics.

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